Multirepresentation Ability Analysis of Wave Matter Using Physics Education Technology
DOI:
10.29303/jppipa.v10i11.8743Published:
2024-11-25Issue:
Vol. 10 No. 11 (2024): NovemberKeywords:
Multirepresentation, Physics education technologyResearch Articles
Downloads
How to Cite
Downloads
Metrics
Abstract
Education is the primary capital of a nation's progress, because with education, the human resources that a nation possesses will become quality. Physics is a branch of natural science, specifically studying natural phenomena and events through several scientific and systematic methods. The research is aimed at developing a tool to evaluate the multirepresentation of wave matter using Physics Education Technology. The methods used in this research are quantitative methods and the research is carried out by providing filling issues that will analyze verbal multirepresentation capabilities, tables and graphs. The research will be carried out at Semarang University using samples of civil engineering students. Research procedures through preliminary stages by drawing up a research plan. Preparing and compiling wave learning modules using the simulation facilities of Physics Education Technology, then compiling evaluation tools that are subject-based with multi-representation verbal approaches, tables and graphs. Validation of learning modules and evaluation tools to determine whether it is worthy of use or not, validation is carried out by 2 experts. Validation of test instruments by experts on material aspects averaged 93%, on construction aspects 94% and on language aspects reached 92%, of which results show that the instruments have excellent validity. In the finite scale test, the highest multirepresentation ability is communicating from mathematics to verbal and its mathematical abilities, while the lowest is in the ability to picture to mathematics and physics.
References
Anwar, D. F. T., Mahardika, I. K., & Supeno, S. (2018). The Effectiveness of Scientific Reasoning-Based Physics Module to Train the Students’ Multirepresentation Ability at Physics Learning in High School. International Journal of Advanced Engineering Research and Science, 5(10), 156–159. https://doi.org/10.22161/ijaers.5.10.20
Astutik, N. M. (2021). Analisis Kemampuan Multirepresentasi Verbal. Jurnal Phi: Jurnal Pendidikan Fisika Dan Fisika Terapan, 2(1), 40–45. http://dx.doi.org/10.22373/p-jpft.v6i2.8623
Azizah, H., Rosidin, U., & Sesunan, F. (2015). Studi Implementasi Scientific Approach Dalam Pembelajaran Sains Di Laboratorium. Jurnal Pembelajaran Fisika Universitas Lampung, 1–13. Retrieved from https://www.neliti.com/publications/121405/studi-implementasi-scientific-approach-dalam-pembelajaran-sains-di-laboratorium
Barniol, P., & Zavala, G. (2017). The mechanical waves conceptual survey: An analysis of university students’ performance, and recommendations for instruction. Eurasia Journal of Mathematics, Science and Technology Education, 13(3), 929–952. https://doi.org/10.12973/eurasia.2017.00651a
Hamida, N., Mulyani, B., & Utami, B. (2013). Studi Komparasi Penggunaan Laboratorium Virtual Dan Laboratorium Riil Dalam Pembelajaran Student Teams Achievement Division (Stad) Terhadap Prestasi Belajar Ditinjau Dari Kreativitas Siswa. Jurnal Pendidikan Kimia Universitas Sebelas Maret, 2(2), 7–15. Retrieved from https://jurnal.fkip.uns.ac.id/index.php/kimia/article/view/1051
Keterampilan, M., & Sains, P. (2017). Desain Riset Perangkat Pembelajaran Menggunakan Media Kit Listrik Yang Dilengkapi Phet Berbasis Inkuiri Untuk Melatihkan Keterampilan Proses Sains. USEJ: Unnes Science Education Journal, 5(3), 1331–1342. https://doi.org/10.15294/usej.v5i3.13162
Kinsler, P. (2020). Faraday’s Law and Magnetic Induction: Cause and Effect, Experiment and Theory. Physics (Switzerland), 2(2), 150–163. https://doi.org/10.3390/physics2020009
Mahardika, I. K., & Wicaksono, I. (2023). Implementation of Multirepresentation Based Physics Modules to Improve Students Critical Thinking Skills. Journal of Education, Society and Behavioural Science, 36(10), 72–79. https://doi.org/10.9734/jesbs/2023/v36i101268
Mao, G., Su, J., Yu, S., & Luo, D. (2019). Multi-turn response selection for chatbots with hierarchical aggregation network of multi-representation. IEEE Access, 7, 111736–111745. https://doi.org/10.1109/ACCESS.2019.2934149
Muzdalifah, W., Irianti, M., & Maimurni, M. (2019). Applying Multirepresentation Based Physics Learning To Improve the Ability of Representation of Students in Class X Mipa2 Sma Babussalam Pekanbaru. Jurnal Geliga Sains: Jurnal Pendidikan Fisika, 6(2), 67. https://doi.org/10.31258/jgs.6.2.67-74
Nikat, R. F., Loupatty, M., & Zahroh, S. H. (2021). Kajian Pendekatan Multirepresentasi dalam Konteks Pembelajaran Fisika. Jurnal Pendidikan Dan Ilmu Fisika, 1(2), 45. https://doi.org/10.52434/jpif.v1i2.1449
Prahastiwi, R. B., & Zain, Z. A. (2023). Multirepresentation-Based Physics E-Module Development. Konstan-Jurnal Fisika Dan Pendidikan Fisika, 8(01), 45–52. https://doi.org/10.20414/konstan.v8i01.193
Purcell, E. M., & Morin, D. J. (2019). Maxwell’s equations and electromagnetic waves. Electricity and Magnetism, 430–465. https://doi.org/10.1017/cbo9781139012973.012
Sari, R. H., Halim, A., & Yusrizal, Y. (2021). Development of E-learning Module based on Multiple Representation Integrated with GeoGebra. Jurnal Penelitian Pendidikan IPA, 7(4), 758–762. https://doi.org/10.29303/jppipa.v7i4.856
Tarasov, V. E. (2008). Universal electromagnetic waves indielectric. Journal of Physics Condensed Matter, 20(17). https://doi.org/10.1088/0953-8984/20/17/175223
Tjia, M. (1994). Gelombang. Dabara Publisher.
Tongchai, A., Sharma, M. D., Johnston, I. D., Arayathanitkul, K., & Soankwan, C. (2011). Consistency of students’ conceptions of wave propagation: Findings from a conceptual survey in mechanical waves. Physical Review Special Topics - Physics Education Research, 7(2), 1–11. https://doi.org/10.1103/PhysRevSTPER.7.020101
Weichman, K., Miller, K. G., Malaca, B., Mori, W. B., Pierce, J. R., Ramsey, D., Vieira, J., Vranic, M., & Palastro, J. P. (2024). Analytic pulse technique for computational electromagnetics. Computer Physics Communications, 298(July 2023), 109096. https://doi.org/10.1016/j.cpc.2024.109096
Xie, L., Liu, Q., Lu, H., Wang, Q., Han, J., Feng, X. M., & Bao, L. (2021). Student knowledge integration in learning mechanical wave propagation. Physical Review Physics Education Research, 17(2), 20122. https://doi.org/10.1103/PhysRevPhysEducRes.17.020122
Zahara, S. R. (2018). Pengaruh Penggunaan Multimedia Berbasis Simulasi Phet (Physics Education Technology) Terhadap Keterampilan Berfikir Kritis Mahasiswa Program Studi Pendidikan Fisika Dan Pendidikan Kimia Universitas Malikussaleh. Ed-Humanistics, 03, 422–427. Retrieved from https://ejournal.unhasy.ac.id/index.php/ed-humanistics/article/view/310
Author Biographies
iryan dwi handayani, Universitas Semarang
Puri Muliandhi, Universitas Semarang
Wahjoerini, Universitas Semarang
License
Copyright (c) 2024 iryan dwi handayani, Puri Muliandhi, Wahjoerini

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).